# United States All employees, thousands, beverage manufacturing, seasonally adjusted

United States All employees, thousands, beverage manufacturing, seasonally adjusted was down 1.9% year on year in September 2026, compared with −0.8% in August 2026.
The level stood at 307.4 thousands.
Over the past ten years it has ranged from −14.9% (Apr 2020) to 21.4% (Apr 2021), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-32329100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-beverage-manufacturing-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 307.4 thousands | −1.9 |
| August 2026 | 308.4 thousands | −0.8 |
| July 2026 | 309.5 thousands | −0.3 |
| June 2026 | 310.7 thousands | −1.1 |
| May 2026 | 310.1 thousands | −2.1 |
| April 2026 | 313.9 thousands | −1.4 |
| March 2026 | 315.0 thousands | −1.3 |
| February 2026 | 311.5 thousands | −2.7 |
| January 2026 | 315.3 thousands | −2.0 |
| December 2025 | 316.8 thousands | −1.6 |
| November 2025 | 313.7 thousands | −1.6 |
| October 2025 | 314.5 thousands | −2.4 |
| September 2025 | 313.3 thousands | −3.5 |
| August 2025 | 310.9 thousands | −5.6 |
| July 2025 | 310.3 thousands | −6.0 |
| June 2025 | 314.3 thousands | −4.6 |
| May 2025 | 316.6 thousands | −3.5 |
| April 2025 | 318.2 thousands | −2.6 |
| March 2025 | 319.3 thousands | −2.1 |
| February 2025 | 320.1 thousands | −2.7 |
| January 2025 | 321.6 thousands | −2.6 |
| December 2024 | 322.1 thousands | −2.2 |
| November 2024 | 318.7 thousands | −3.3 |
| October 2024 | 322.2 thousands | −1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32329100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32329100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```